Identify relationships and trends in data, as well as any factors that could affect the results of research.
? Report results of statistical analyses, including information in the form of graphs, charts, and tables.
? Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
? Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
? Develop software applications or programming to use for statistical modeling and graphic analysis.
? Develop and test experimental designs, sampling techniques, and analytical methods.
? Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data.
? Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used.
? Process large amounts of data for statistical modeling and graphic analysis, using computers.
? Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.

• Experience in Data Analytics with experience on statistical tools SAS, R, Python, Excel, and Machine learning.
• Have hands on experience in R and Python
• Have hands on experience in TM1 Architect.
• Knowledge of Shiny.
• A team player with the strong communication and interpersonal skills.
• Ability to work independently and in a Team Environment.

Being from the engineering background and M.Tech in Spatial information technology I am keenly interested in GIS and Remote sensing. I have developed a tool called IDC Tool on JAVA Platform to capture IRNSS and GPS satellite data at IIRS- ISRO Dehradun. I have also developed a tool such as a Land Information System which is built on JAVA using Geotool. Recently I am running my startup in the name of \\\"goMap Software Solutionz\\\" where me with my team develop softwares related to various industries like in the field of IoT, education sector, GIS solutions, Non- Profit organization, finance sector and various others. Here we also provide GIS solutions for different private and government sectors. We also conduct workshops in different fields mostly in GIS and \\\'Open Source Software QGIS, Java, Python, Databases, Geoserver, Postgresql with Spatial Data Management etc. Right now we are rapidly moving in the direction of automation using IoT, Machine Learning, Artificial Intelligence, Cloud Computing, Big Data and Hadoop. I believe in working for the welfare of our society and for the same I always stand for the betterment of education, development of our society and consequently the progress of our nation.

Experienced Computer Science professional with experience in Research & Analysis working in IT and education services industry. Skilled in Python (Pandas, numpy, Scipy,Sklearn), Machine learning, Model building, SQL, C++, Algorithms. Strong research , content development, analysis and delivery skills with a Master of Technology (M.Tech.) focused in IT from UIET, Panjab university.

Data Scientist combining classical statistical approaches with more modern machine learning methods.
I\'m a data scientist with 5 years of experience in research and in leading new software projects, data mining and machine learning. I enjoy working on using Big Data stream mining and large-scale data analysis to gain insights from Big Data. I design and build applications on real-time data mining, at the intersection of mathematics, data science, algorithms, and business.
I have two degrees in mathematics, one in Pure Mathematics and the other in Applied Mathematics. This degrees gave me an solid mathematical preparation, skills and ingenuity in mathematical modeling techniques like machine learning, computer fluid dynamics, data mining, time series and regression that can suit a wide range of applications in various branches of economy and industry and facilitated the use of computational and numerical techniques applications. With excellent skills in computer simulation using Monte Carlo methods.
My main areas of expertise and interest are:
- Applied Mathematics(Data Science, Probability and Statistics)
- Machine Learning algorithms (Python - scikit-learn, pandas, numpy, scipy; R)
- Applied Data Science (credit risk finance, stock market, portfolio management, V@R, ES and CV@R)
- Optimisation Modeller
- Deterministic Models like population models or CFD (in C and Fortran)
- Big Data(Hadoop, Scala/Figaro and SQL, Spark for Apache Server)
I like working collaboratively with a group of people in order to achieve a goal in a good group spirit.